Hao He (何浩)
I am a 4th year Ph.D student majoring Artificial Intelligence at HKUST and HKUST(GZ), supervised by Prof. Ying-Cong Chen, he is awesome!
Previously, I obtained a bachelor of science degree (B.S) in Electrical Eningeering at UCLA, and a master of science degree (M.S) majoring Electrical Engineering with Computer Science at USC.
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Github  / 
Google Scholar
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Research
My current research interests mainly focus on the field of 3D vision, 3D understanding, reconstruction and generation.
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LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images
Hao He*,
Yixun Liang*,
Luozhou Wang,
Yuanhao Cai,
Xinli Xu,
Hao-Xiang Guo,
Xiang Wen,
Ying-Cong Chen
Arxiv, 2024
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ReTR: Modeling Rendering via Transformer for Generalizable Neural Surface Reconstruction
Yixun Liang*,
Hao He*,
Ying-Cong Chen
NeurIPS, 2023
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CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis
Hao He* ,
Yixun Liang*,
Shi-shi Xiao,
Jierun Chen,
Ying-Cong Chen
Pacific Graphics, 2023
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Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets
Yixun Liang*,
Hao He*,
Shi-shi Xiao,
Hao Lu,
Ying-Cong Chen
Pacific Graphics, 2024
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Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks
Jierun Chen,
Shiu-hong Kao,
Hao He,
Weipeng Zhuo,
Song Wen,
Chul-Ho Lee,
S.-H. Gary Chan
CVPR, 2023
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